Haomiao Ni

Haomiao Ni is an Assistant Professor in the Department of Computer Science at the University of Memphis. He holds a PhD in Informatics from Pennsylvania State University (2024), a Master's in Computer Science from the University of Chinese Academy of Sciences (2019), and a Bachelor's in Information Engineering from South China University of Technology (2016). His research focuses on computer vision and machine learning, with applications in generative AI, biomedical imaging, and healthcare technologies.

Education:

• PhD in Informatics, Pennsylvania State University, 2024
• Master of Computer Science and Technology, University of Chinese Academy of Sciences, 2019
• Bachelor of Information Engineering, South China University of Technology, 2016

Research Interests: His work spans video-based computer-aided diagnosis, generative models for video editing, and deep learning for biomedical image analysis. Recent projects include privacy-preserving stroke triage systems and zero-shot text-to-video generation frameworks.

Advising & Contributions: Currently advising PhD student Yanliang Qi. He serves as a reviewer for top journals (CVIU, MedIA, TPAMI) and conferences (MICCAI, CVPR, NeurIPS). His code repository CVPR23_LFDM demonstrates contributions to latent flow diffusion models for video generation.

Labs & Teams: Leads research projects in generative AI and biomedical applications, leveraging tools like PyTorch and collaborative platforms for model development.